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• laptop screen recorder built using python & ffmpeg can generate only video file in AVI format succesfully,generating corrupted MP4 file as output ? [closed]

  19 mars, par Rupashree Roy

  I have build laptop screen recorder with internal and external audio using python and ffmpeg,but it couldn't store output file in Other video formats,excepts AVI,if I try to store it in MP4 format,ut's showing file is corrupted,what to do/

  


  Here's the code, enter link description here

  


• How to capture screen and audio input and push to rtmp server ?

  6 mars 2016, par ggaaooppeenngg

  I use avconv on ubuntu,I found this command

  avconv -f alsa -i pulse -f x11grab -r 25 -s 1280x720 -i :0.0+0,0 -acodec libfaac -vcodec libx264 -pre:0 lossless_ultrafast -threads 0 video.mkv

  to save as a file, and this command

  avconv -i ./test.m4v -re -c copy -f flv "rtmp://localhost/livestream"

  to push live stream.

  How can I combine them together ?

• Remove Static Pixels from a Video to Mimic a Green Screen Effect [closed]

  2 août 2021, par nKrkan

  I have a video that's 50 seconds in length, resolution of 480x480 and 16 frames per second.

  


  There is a person talking in it, with the background being static I thought if there's a way
  
to remove those static pixels (background) and just extract the moving pixels (foreground)
  
and possibly mimic a green screen effect ?

  


  I was thinking on writing a picture-by-picture comparison tool to do such thing but I don't
  
believe I'm up to the task, or maybe It's laziness.

  


  And now I know, some of you will point out that the video has compression artifacts and that
  
might cause some problems but It doesn't have to be Studio quality stuff.

  


  I tried the ffmpeg command from this question : Remove random background from video using ffmpeg or Python
  
And it does mask the person, but... I couldn't quite get it to work, apparently putting the
  
reference image in the input makes that image burned into the video, thus having no way to
  
remove it, but it did mask the background as black and the person as greenish, so still not a
  
viable way to do it.

  


  Have also tried some Python projects I've found on the GitHub but none of them worked as
  
I expected.

  


  So, what I thought to do is simply compare the first and the second frame of the video, check
  
all the pixels by comparing them with the two sources, and change those that stay within a
  
certain range of the initial pixel value.

  


  I should point out I'm not very knowledgeable with mathematics and the majority of the
  
methods used in these type of things, but perhaps someone could point me to an interesting
  
source to read and learn, or by providing an alternative to the methods aforementioned above.